library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
7408_Cazis <- sunrise.set(46.7402927,9.426735000000008, "2024/01/01", timezone="MET", num.days=370)
sunrise <- 7408_Cazis$sunrise
sunset <- 7408_Cazis$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
7408_Cazis["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
7408_Cazis["ss"] <- as.POSIXct(sunset, format = "%H:%M")
7408_Cazis["timestamp"] <- align.time(7408_Cazis$sunrise, 60*10)
7408_Cazis <- 7408_Cazis[c("timestamp", "sr", "ss")]
locsrss <- ggplot(7408_Cazis, aes(x=7408_Cazis$timestamp)) + geom_line(aes(y=7408_Cazis$sr)) + geom_line(aes(y=7408_Cazis$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 7408_Cazis 2024", x = "Datum", y = "Zeit")
pdf("7408_Cazis_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="7408_Cazis_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
7408_Cazis["Sonnenaufgang"] <- strftime(7408_Cazis$sr, format="%H:%M")
7408_Cazis["Sonnenuntergang"] <- strftime(7408_Cazis$ss, format="%H:%M")
write.table(7408_Cazis, file="7408_Cazis_SaSu.csv", dec=',', sep=';', row.names=FALSE)